Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
BACKGROUND: Effective communication is crucial for high-quality health care, but systemic barriers still disrupt patient-provider interactions. Research shows that communication failures are a major reason for preventable medical errors. These issues are linked to around 30% of malpractice claims and over 1744 deaths each year in the United States. In addition, hospitals lose about US $12 billion ...
The generation of personalized learning content in family environments has been a growing interest in recent years, with the development of new and advanced deep learning techniques. Most previous works use the rule-based system and collaborative filtering techniques for educational content recommendation, and they do not demonstrate much flexibility in learner context and family factors. In this ...
BACKGROUND: Traditional simulation-based nursing education is often constrained by high costs, resource intensity, and limited scalability. AI-powered...
Proteins with intrinsically disordered regions (IDRs) perform essential cellular functions despite lacking stable structures, challenging the traditio...
BACKGROUND: Large language model (LLM)-based conversational agents are increasingly used in health care, yet their capacity to support genuine multitu...
Robotic surgery has seen substantial growth, however training access remains limited by resources and time-intensive credentialling pathways. Technolo...
2'-O-methylation (Nm) is a key epitranscriptomic mark across diverse RNAs, yet its role in antiviral defense remains largely unexplored. To systematic...
Oral squamous cell carcinoma (OSCC) is a common malignant tumor in the oral and maxillofacial region with a poor prognosis, and its pathophysiology ha...
BACKGROUND: Internal ribosome entry sites (IRES) are cap-independent translation initiation elements present in specific viral and cellular mRNAs. The...
Artificial intelligence (AI) is increasingly being used to support clinical research, but its value in vaccine clinical trials requires careful eviden...
The aim of this study was to investigate the effects of an AI-Narrative-Stratified (ANS) model and traditional anatomy education on academic mastery a...
PURPOSE OF REVIEW: Intraprocedural anticoagulation during percutaneous coronary intervention (PCI) remains particularly challenging in high-risk and u...
BACKGROUND: Accurate inpatient census forecasting is important for cell therapy and blood and marrow transplantation (BMT) programs because bed capaci...
BACKGROUND: Current guidelines recommend pancolonic chromoendoscopy (pCE) over white light endoscopy (WLE) alone for colorectal neoplasia (CRN) detect...
BACKGROUND: Natural language processing (NLP) techniques offer promising solutions for semi-automating the time-consuming process of abstract screenin...
BACKGROUND: Operating room (OR) scheduling is critical for timely patient care, optimal resource usage, and equitable surgical access. Despite the cos...
OBJECTIVE: Traditional lecture-based learning (LBL) is often insufficient for cultivating the practical decision-making skills required in high-stakes...
U.S. colleges and schools of pharmacy face mounting challenges in sustaining robust research programs, supporting early-stage investigators, modernizi...
Artificial intelligence (AI) has shown significant promise in chest radiography, where deep learning models can approach radiologist-level diagnostic ...
The increasing complexity, scale, and diversity of cyber threats pose significant challenges to modern network security systems, particularly in heter...